Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 2 months ago
T
Implementation Specialist (Variable or Fixed Ops Experience Required)
Tekion
Canada
- $69,000 to $103,500 CAD / year
- Full-time
…Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive…
Added 2 months ago
CT
Senior Software Developer - Full Stack Web Application
CIeNET Technologies
Markham, ON
- $100,000 to $150,000 CAD / year
- Full-time
Experience with CI/CD, Docker, Kubernetes, or cloud-native application development
Added 2 months ago
B
Senior Security Engineer II
Braze
Toronto, ON
- $153,000 to $240,500 CAD / year
Braze is a modern, cloud-first SaaS company running entirely on cloud-native infrastructure - large-scale, distributed systems spanning AWS, GCP, and self-managed Kubernetes, backed by…
Added 2 months ago
Director, IT Solutions 1
Celestica International LP
Richardson, NB
Oversee and support team in providing guidance on relevant technologies and concepts (e.g. Azure, Cloud Tech, .NET, SAP/ABAP, etc.)
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
Mobile & Web Development: (iOS, Android, React Native, React, Node.js)
Added 2 months ago
O
Staff FullStack Engineer, Okta Secures AI
Okta
Waterloo, ON
- $160,000 to $220,000 CAD / year
- Full-time
This role requires deep expertise in distributed systems and a commitment to AI-native engineering as our standard. You will rethink backend design, validation, and delivery through…
Added 2 months ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Added 2 months ago
Senior Staff Network Software Engineer
Kaseya Careers
Toronto, ON
We are seeking a Sr. Staff Network Software Engineer to architect and develop scalable and multi-tenant cloud-native networking solutions and security architectures. This role blends cloud…
Added 2 months ago
A
Amazon Connect Functional Lead
Accenture
Toronto, ON
- $99,450 to $209,900 CAD / year
- Full-time
…you can lead the world’s largest enterprises on the path to native cloud transformation and serverless, on the leading edge of…
Added 2 months ago
A
AWS Connect Engineer
Accenture
Toronto, ON
- $99,450 to $209,900 CAD / year
- Full-time
Nice to Have: Availability to work in a hybrid model, with an expectation of 2-3 days per week in the office
Added 2 months ago
C
Senior Security Engineer
Cohere
Remote, Canada
- $260,000 to $310,000 CAD / year
- Full-time
- Remote
Lead security operation functions – including vulnerability management, SAST, DAST, detection engineering, and incident response – in CI/CD and cloud-native production environments
Added 3 months ago
M
Senior Back-End Developer, Innovation Development
MNP
Calgary, AB
- Full-time
Design and develop scalable, cloud-native back-end services using modern .NET, API-first patterns, and secure integration approaches
Added 2 months ago
BV
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Remote, Canada
- Full-time
- Remote
Hybrid, 4 days per week in office · This is a hybrid role based in Toronto, with an expectation of working in office three days per week
Added 3 months ago
C
Technical Support Analyst (Enterprise)
Clariti
Vancouver, BC
- $70,000 to $95,000 CAD / year
- Full-time
Clariti is a Salesforce-native platform used by municipal governments to run permitting, licensing, land management, and financials. When something breaks for a city, our Support team is…
Added 2 months ago
TR
Front End Developer (Hybrid or Remote)
Traction Rec
Vancouver, BC
- Full-time
We're looking for a Front End Developer to join our team as we enter our next stage of growth. You'll play a central role in how we craft the best-in-class user interfaces and experiences…
Added 3 months ago
WW
Vertical Systems Engineer (Presales Architecture) - Global Accounts - Canada
World Wide Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…user experience and service management technologies along with Cloud technologies including containers, Kubernetes, cloud native services, storage, networking and commercial models at a…
Added 2 months ago
E
Sr. Data Engineer Manager
eBay
Toronto, ON
- Full-time
…streaming, orchestration, transformation, observability, and cloud-native platform development using technologies such as Kafka, Spark, Flink, Airflow, dbt, Databricks, and…
Added 2 months ago
MS
Principal Software Engineer, Avigilon Access Control
Motorola Solutions
Vancouver, BC
- Full-time
…across a global footprint. This role bridges high-performance cloud-native microservices and intelligent, resource-constrained edge…
Added 2 months ago
D
GC AI - Member of Technical Staff, Product Engineering
deCircle
Remote, Canada
- Full-time
- Remote
Build and optimize cloud-native systems using GCP.
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
Knowledge of containerized deployments and cloud-native architectures.
Added 2 months ago
R
Founding AI Quality & Release Engineer
Raydar
Remote, Canada
- Full-time
- Remote
…execute complex engineering workflows inside customer-controlled cloud environments. Founded by early employees of a leading cloud data platform, the approximately 20-person team helps data…
Added 2 months ago
Director, AI & Agentic Engineering
Artefact North America
Montreal, QC
…engineering, agent harnesses, RAG, and agentic coding - and in cloud-native software architecture, with proven production…
Added 3 months ago
C
Cluster Operations Software Engineer
Cerebras
Toronto, ON
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 3 months ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
Explore and establish effective AI-native engineering practices, including AI-assisted coding, code review, debugging, testing, documentation, refactoring and technical research
Added 2 months ago
Software Dev Engineer II, Amazon Marketing Cloud
Amazon
Toronto, ON
…(massive scale streaming systems, machine learning, data science, cloud native development). We build front-ends in ReactJS and back-ends with Kotlin and native AWS. We are *not* looking…

Cerebras

Cluster Operations Software Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
Posting language: English
Posted: Aug 13, 2026

Original job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

The Role

We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.

You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success.

Responsibilities

Deploy, configure, and debug container-based services using Docker.
Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling.
Collaborate with cross-functional teams to translate operational requirements into scalable O&M products and platform capabilities.
Develop APIs, automation services, and integrations that improve operational visibility, incident response, and fleet management across global AI infrastructure.
Manage and operate multiple advanced AI compute infrastructure clusters.
Monitor and oversee cluster health, proactively identifying and resolving potential issues.
Maximize compute capacity through optimization and efficient resource allocation.
Provide 24/7 monitoring and support, leveraging automated tools and performing hands-on troubleshooting as needed.
Handle engineering escalations and collaborate with other teams to resolve complex technical challenges.
Stay up-to-date with the latest advancements in AI compute infrastructure and related technologies.

Skills And Requirements

6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments.
Experience and Expertise in distributed systems is a must.
Deep understanding of Linux-based compute systems and command-line tools.
Extensive knowledge of Docker containers and container orchestration platforms like k8s.
Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner.
Experience with monitoring and alerting systems.
Should have a proven track record to own and drive challenges to completion.
Excellent communication and collaboration skills.
Ability to work effectively in a fast-paced environment.
Willingness to participate in a 24/7 on-call rotation.

Preferred Skills And Requirements

Operating and Managing large scale AI clusters.
Knowledge of technologies like Ethernet, RoCE, TCP/IP, etc. is desired.
Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure).

Location

SF Bay Area.
Toronto, Canada.
Bangalore, India.

Why Join Cerebras

About

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Apply on LinkedIn About employer

More about this job

Responsibilities

Manage and operate large-scale AI compute clusters using the Wafer-Scale Engine to ensure high availability and performance. Develop software solutions for monitoring, automation, and fleet management to optimize compute capacity.

Requirements

Requires 6-8 years of experience in complex compute infrastructure with proficiency in Python, Go, and containerization technologies. Candidates must have deep expertise in Linux-based systems and distributed systems, with a willingness to participate in a 24/7 on-call rotation.

Skills

Python
Go
Docker
Kubernetes
Linux
Distributed Systems
Cluster Operations
Monitoring and Alerting
Workflow Automation
API Development
Ethernet
RoCE
TCP/IP
Cloud Computing
High Performance Computing
Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

AI Chip
Wafer-Scale Engine
WSE
Machine Learning
HPC
Docker
K8s
Python
Go
Linux
Distributed Systems
RoCE
TCP/IP
Ethernet
AWS
GCP
Azure
Cluster Operations
Infrastructure
Monitoring
Automation
API
Reliability Tooling
Inference
Training
Semiconductor
Compute Capacity
Fleet Management
On-call
Scalable O&M

Report this job

Work requirements

Jobs in Canada